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Transaction Prices (transaction + price)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	100%

Selected Abstracts

Identification of Standard Auction Models

ECONOMETRICA, Issue 6 2002
Susan Athey
This paper presents new identification results for models of first,price, second,price, ascending (English), and descending (Dutch) auctions. We consider a general specification of the latent demand and information structure, nesting both private values and common values models, and allowing correlated types as well as ex ante asymmetry. We address identification of a series of nested models and derive testable restrictions enabling discrimination between models on the basis of observed data. The simplest model,symmetric independent private values,is nonparametrically identified even if only the transaction price from each auction is observed. For richer models, identification and testable restrictions may be obtained when additional information of one or more of the following types is available: (i) the identity of the winning bidder or other bidders; (ii) one or more bids in addition to the transaction price; (iii) exogenous variation in the number of bidders; (iv) bidder,specific covariates. While many private values (PV) models are nonparametrically identified and testable with commonly available data, identification of common values (CV) models requires stringent assumptions. Nonetheless, the PV model can be tested against the CV alternative, even when neither model is identified. [source]

A Partially Observed Model for Micromovement of Asset Prices with Bayes Estimation via Filtering

MATHEMATICAL FINANCE, Issue 3 2003
Yong Zeng
A general micromovement model that describes transactional price behavior is proposed. The model ties the sample characteristics of micromovement and macromovement in a consistent manner. An important feature of the model is that it can be transformed to a filtering problem with counting process observations. Consequently, the complete information of price and trading time is captured and then utilized in Bayes estimation via filtering for the parameters. The filtering equations are derived. A theorem on the convergence of conditional expectation of the model is proved. A consistent recursive algorithm is constructed via the Markov chain approximation method to compute the approximate posterior and then the Bayes estimates. A simplified model and its recursive algorithm are presented in detail. Simulations show that the computed Bayes estimates converge to their true values. The algorithm is applied to one month of intraday transaction prices for Microsoft and the Bayes estimates are obtained. [source]

FX Trading and Exchange Rate Dynamics

THE JOURNAL OF FINANCE, Issue 6 2002
Martin D. D. Evans
I examine the sources of exchange rate dynamics by focusing on the information structure of FX trading. This structure permits the existence of an equilibrium distribution of transaction prices at a point in time. I develop and estimate a model of the price distribution using data from the Deutsche mark/dollar market that prroduces two striking results:(1) Much of the short-term volatility in exchange rates comes from sampling the heterogeneous trading decisions of dealers in a distribution that, under normal market conditions, changes comparatively slowly; (2) public news is rarely the predominant source of exchange rate movements over anyhorizon. [source]

Price discovery in electronic foreign exchange markets: The sterling/dollar market

THE JOURNAL OF FUTURES MARKETS, Issue 6 2010
Russell Poskitt
This study finds that GLOBEX has a marginally lower Hasbrouck, J. (1995) information share than Reuters D3000 in the electronic sterling/dollar foreign exchange market when returns are computed from high frequency data on either midquotes or transaction prices. However, GLOBEX's information share declines sharply when returns are computed from a mixture of GLOBEX transaction prices and Reuters D3000 midquotes. This helps explain why prior studies using this latter methodology report relatively low information shares for GLOBEX in the yen/dollar market. Variations in GLOBEX's information share on an intraday basis can be explained by variations in relative liquidity, spreads and price volatility. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:590,606, 2010 [source]